Hybrid Multi-Agent Architecture (HMAA) for meeting scheduling

Created by W.Langdon from gp-bibliography.bib Revision:1.4448

@InProceedings{Al-Ratrout:2010:SSD,
  author =       "Serein Al-Ratrout and Francois Siewe and 
                 Omar Al-Dabbas and Mai Al-Fawair",
  title =        "Hybrid Multi-Agent Architecture (HMAA) for meeting
                 scheduling",
  booktitle =    "2010 7th International Multi- Conference on Systems,
                 Signals and Devices",
  year =         "2010",
  address =      "Amman, Jordan",
  month =        "27-30 " # jun,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, multiagent,
                 meeting scheduling, heuristic",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.1011.3891",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.3891",
  URL =          "http://www.cse.dmu.ac.uk/%7Efsiewe/papers/serein_siewe_2010.pdf",
  DOI =          "doi:10.1109/SSD.2010.5585505",
  size =         "6 pages",
  abstract =     "This paper presents a novel multi-agent architecture
                 for meeting scheduling. The proposed architecture is a
                 new Hybrid Multi-Agent Architecture (HMAA) that
                 generates new heuristics for solving NP-hard problems.
                 Moreover, the paper investigates the feasibility of
                 running computationally intensive algorithms on
                 multi-agent architectures while preserving the ability
                 of small agents to run on small devices, including
                 mobile devices. Three experimental groups are conducted
                 in order to test the feasibility of the proposed
                 architecture. The results show that the performance of
                 the proposed architecture is better than those of many
                 existing meeting scheduling frameworks. Moreover, it
                 has been proved that HMAA preserves small agents'
                 mobility (i.e. the ability to run on small devices)
                 while implementing evolutionary algorithms.",
  notes =        "Serein Al-Ratrout Department of Software Engineering,
                 Alzytoonah University, Jordan

                 Francois Siewe Software Technology Research Laboratory,
                 Demontfort University, UK

                 Omar Al-Dabbas Faculty of Engineering, Al-Balqa Applied
                 University, Jordan

                 Mai Al-Fawair Department of Software Engineering,
                 Alzytoonah University, Jordan

                 Also known as \cite{5585505}",
}

Genetic Programming entries for Serein Al-Ratrout Francois Siewe Omar Al-Dabbas Mai Al-Fawair

Citations